Clustering CRSwNP Patients for Predicting Uncontrolled Outcomes Based on Clinical Features
The decision tree constructed from the total CT scores, tissue and blood eosinophil counts, and age can generate an effective predictive procedure to guide the identification of uncontrolled CRSwNP.
Authors
- Yu Zhang (ORCID: https://orcid.org/0000-0002-1543-2629)
- Jiali Yin (ORCID: https://orcid.org/0000-0002-5245-4851)
- Ting Zuo
- Bei Zhang (ORCID: https://orcid.org/0000-0002-9197-7364)
- Xinjun Xu (ORCID: https://orcid.org/0009-0004-0321-5354)
- Jing Guo (ORCID: https://orcid.org/0000-0002-0142-5348)
- Xicheng Song (ORCID: https://orcid.org/0000-0002-9789-1318)
- Yisong Yao (ORCID: https://orcid.org/0009-0006-2952-6438)
- Yujuan Yang
- Pengyi Yu (ORCID: https://orcid.org/0000-0003-2778-2615)
- Zhen Liu (ORCID: https://orcid.org/0009-0001-9786-0909)
- Huifang Liu (ORCID: https://orcid.org/0009-0002-3982-355X)
- Jianwei Wang
- Ying Chen (ORCID: https://orcid.org/0009-0000-4812-7658)
Institutions
- Qingdao University (CN)
- Binzhou Medical University (CN)
- Shandong University of Aeronautics (CN)
- Yuhuangding Hospital (CN)
Publication Details
- Journal
- Allergy Asthma and Immunology Research
- Published
- 2025-01-01
- DOI
- https://doi.org/10.4168/aair.2025.17.5.628
- Primary Topic
- Sinusitis and nasal conditions
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- National Natural Science Foundation of China
- Natural Science Foundation of Shandong Province